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Crypto AI Trading Platform
Year
2025
Tech & Technique
React, Flask, TensorFlow, Keras, LSTM, Pandas, NumPy, REST APIs
Description
A full-stack AI-powered crypto forecasting platform using a Stacked LSTM model for multi-asset trend prediction.
Key Features:
Technical Highlights:
Key Features:
- 📈 Stacked LSTM model achieving R² Score 0.9892 on Bitcoin datasets
- 💰 MAE of $2,105.90 for high-accuracy price forecasting
- 🔁 Predicts trends for 10+ crypto assets via correlation-based trend multiplier
- 🌐 Clean, responsive interface for real-time trend visualization
- ⚡ Fast inference delivered through Flask microservice API
Technical Highlights:
- Implemented multi-step LSTM forecasting pipeline
- Used Pandas & NumPy for advanced time-series feature engineering
- Developed Flask-based prediction endpoint with caching & batching
- Integrated React frontend with REST API for real-time charting
My Role
Machine Learning & Full-Stack Developer
Owned the ML and backend-to-frontend integration:
Owned the ML and backend-to-frontend integration:
- 🧠 Built & trained the Stacked LSTM forecasting model
- ⚙️ Deployed Flask microservice for fast prediction delivery
- 📊 Implemented React charts to visualize model outputs dynamically
- 🔍 Designed the correlation-based multiplier system
- 🧩 Managed full system integration and testing